Project specification
Project expertise
Description
- Tasks in the data engineering field using Python (JupyterHub)
- Working with tools like Oracle, Linux, BigQuery
- Analytical work in a marketing/CRM context possible
Requirements
Must Have:
- Strong analytical skills
- Very good Python knowledge (used in JupyterHub)
- Several years of experience working with relational databases, preferably Oracle
- Experience in handling large datasets efficiently
- Experience in the Google Cloud environment, especially BigQuery
- Good Linux skills
Nice to Have:
- Strong analytical skills, ideally in a marketing/CRM context
- Basic knowledge of SAS would be desirable but is not mandatory
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Frequently asked questions
The project is based in Germany.
The project preferably starts in September 2024 and is planned to end in December 2024 (3 months).
The project requires a commitment of 90 - 100% capacity (full-time).
The project offers 90 - 100% remote work.
The project offers a daily rate of 700 - 750€ which breaks down to an hourly rate of 87.5 - 93.75€/h.
The project requires the following languages: German (Advanced) and English (Advanced).
The project is related to the following industry: Banking and Finance.
The project covers the following business areas: Business Intelligence and Information Technology.
Yes! Recommend a freelancer for the project and earn 30% of FRATCH's profits every time they get placed — for the duration of that project. Simply share your invite link with a colleague to get started.
To apply for the project, click the Apply button on the project page to submit your profile for review. We will forward your resume to the client and get back to you within a few days.